OpenML
Supervised Classification on cpu

Supervised Classification on cpu

Task 3661 Supervised Classification cpu 583 runs submitted
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  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9666, kappa: 0.9121, kb_relative_information_score: 170.8545, mean_absolute_error: 0.0764, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9668, predictive_accuracy: 0.9665, prior_entropy: 0.8205, recall: 0.9665, relative_absolute_error: 0.2011, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1573, root_relative_squared_error: 0.3616, scimark_benchmark: 938.988, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9857, kappa: 0.9623, kb_relative_information_score: 184.951, mean_absolute_error: 0.0479, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9858, predictive_accuracy: 0.9856, prior_entropy: 0.8205, recall: 0.9856, relative_absolute_error: 0.1263, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1129, root_relative_squared_error: 0.2596, scimark_benchmark: 906.0979, usercpu_time_millis: 1630, usercpu_time_millis_testing: 590, usercpu_time_millis_training: 1040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9857, kappa: 0.9623, kb_relative_information_score: 183.5749, mean_absolute_error: 0.0506, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9858, predictive_accuracy: 0.9856, prior_entropy: 0.8205, recall: 0.9856, relative_absolute_error: 0.1334, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1194, root_relative_squared_error: 0.2744, scimark_benchmark: 939.8002, usercpu_time_millis: 800, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9857, kappa: 0.9623, kb_relative_information_score: 186.3474, mean_absolute_error: 0.0456, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9858, predictive_accuracy: 0.9856, prior_entropy: 0.8205, recall: 0.9856, relative_absolute_error: 0.12, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1113, root_relative_squared_error: 0.2559, scimark_benchmark: 921.2615, usercpu_time_millis: 350, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9762, kappa: 0.9372, kb_relative_information_score: 186.0055, mean_absolute_error: 0.0432, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9763, predictive_accuracy: 0.9761, prior_entropy: 0.8205, recall: 0.9761, relative_absolute_error: 0.1137, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1193, root_relative_squared_error: 0.2742, scimark_benchmark: 869.7667, usercpu_time_millis: 200, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9809, kappa: 0.9494, kb_relative_information_score: 185.8282, mean_absolute_error: 0.0428, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9809, predictive_accuracy: 0.9809, prior_entropy: 0.8205, recall: 0.9809, relative_absolute_error: 0.1127, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1249, root_relative_squared_error: 0.287, scimark_benchmark: 936.1714, usercpu_time_millis: 90, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9904, kappa: 0.9747, kb_relative_information_score: 200.0612, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9904, predictive_accuracy: 0.9904, prior_entropy: 0.8205, recall: 0.9904, relative_absolute_error: 0.0343, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.092, root_relative_squared_error: 0.2115, scimark_benchmark: 929.0296, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9904, kappa: 0.9747, kb_relative_information_score: 200.0612, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9904, predictive_accuracy: 0.9904, prior_entropy: 0.8205, recall: 0.9904, relative_absolute_error: 0.0343, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.092, root_relative_squared_error: 0.2115, scimark_benchmark: 929.0296, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9904, kappa: 0.9747, kb_relative_information_score: 200.0958, mean_absolute_error: 0.0129, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9904, predictive_accuracy: 0.9904, prior_entropy: 0.8205, recall: 0.9904, relative_absolute_error: 0.0341, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.0911, root_relative_squared_error: 0.2094, scimark_benchmark: 936.7184, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9904, kappa: 0.9747, kb_relative_information_score: 200.1301, mean_absolute_error: 0.0129, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9904, predictive_accuracy: 0.9904, prior_entropy: 0.8205, recall: 0.9904, relative_absolute_error: 0.0339, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.0886, root_relative_squared_error: 0.2037, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9858, kappa: 0.9628, kb_relative_information_score: 195.8462, mean_absolute_error: 0.0224, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9864, predictive_accuracy: 0.9856, prior_entropy: 0.8205, recall: 0.9856, relative_absolute_error: 0.0589, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1026, root_relative_squared_error: 0.2357, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4726, f_measure: 0.638, kb_relative_information_score: -0.7232, mean_absolute_error: 0.3799, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.5571, predictive_accuracy: 0.7464, prior_entropy: 0.8205, recall: 0.7464, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.4352, root_relative_squared_error: 1.0003, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9905, kappa: 0.975, kb_relative_information_score: 202.9589, mean_absolute_error: 0.0079, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9908, predictive_accuracy: 0.9904, prior_entropy: 0.8205, recall: 0.9904, relative_absolute_error: 0.0209, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.0783, root_relative_squared_error: 0.18, scimark_benchmark: 926.5859, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9904, kappa: 0.9747, kb_relative_information_score: 202.0059, mean_absolute_error: 0.0102, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9904, predictive_accuracy: 0.9904, prior_entropy: 0.8205, recall: 0.9904, relative_absolute_error: 0.0269, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.0977, root_relative_squared_error: 0.2246, scimark_benchmark: 935.6052, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9856, kappa: 0.9618, kb_relative_information_score: 199.9375, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9856, predictive_accuracy: 0.9856, prior_entropy: 0.8205, recall: 0.9856, relative_absolute_error: 0.0377, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1068, root_relative_squared_error: 0.2456, scimark_benchmark: 940.0055, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9711, kappa: 0.9232, kb_relative_information_score: 192.6797, mean_absolute_error: 0.0261, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9712, predictive_accuracy: 0.9713, prior_entropy: 0.8205, recall: 0.9713, relative_absolute_error: 0.0688, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1439, root_relative_squared_error: 0.3308, scimark_benchmark: 935.6052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.9368, kappa: 0.8304, kb_relative_information_score: 167.6855, mean_absolute_error: 0.068, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9371, predictive_accuracy: 0.9378, prior_entropy: 0.8205, recall: 0.9378, relative_absolute_error: 0.179, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.2431, root_relative_squared_error: 0.5588, scimark_benchmark: 935.6052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.638, kb_relative_information_score: 53.535, mean_absolute_error: 0.2536, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.5571, predictive_accuracy: 0.7464, prior_entropy: 0.8205, recall: 0.7464, relative_absolute_error: 0.6678, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.5036, root_relative_squared_error: 1.1575, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9243, f_measure: 0.9515, kappa: 0.8704, kb_relative_information_score: 174.3997, mean_absolute_error: 0.0598, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9518, predictive_accuracy: 0.9522, prior_entropy: 0.8205, recall: 0.9522, relative_absolute_error: 0.1576, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.2157, root_relative_squared_error: 0.4957, scimark_benchmark: 942.6192, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9615, kappa: 0.8976, kb_relative_information_score: 113.5529, mean_absolute_error: 0.2019, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9615, predictive_accuracy: 0.9617, prior_entropy: 0.8205, recall: 0.9617, relative_absolute_error: 0.5317, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.2387, root_relative_squared_error: 0.5487, scimark_benchmark: 924.4107, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.889, kappa: 0.6954, kb_relative_information_score: 136.0234, mean_absolute_error: 0.1377, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.895, predictive_accuracy: 0.8947, prior_entropy: 0.8205, recall: 0.8947, relative_absolute_error: 0.3626, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.2388, root_relative_squared_error: 0.5489, scimark_benchmark: 933.0918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.9472, kappa: 0.8601, kb_relative_information_score: 174.5699, mean_absolute_error: 0.0569, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9471, predictive_accuracy: 0.9474, prior_entropy: 0.8205, recall: 0.9474, relative_absolute_error: 0.1498, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.2143, root_relative_squared_error: 0.4926, scimark_benchmark: 899.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9905, kappa: 0.975, kb_relative_information_score: 188.5633, mean_absolute_error: 0.0408, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9908, predictive_accuracy: 0.9904, prior_entropy: 0.8205, recall: 0.9904, relative_absolute_error: 0.1074, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1202, root_relative_squared_error: 0.2763, scimark_benchmark: 919.6941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9857, kappa: 0.9623, kb_relative_information_score: 196.4435, mean_absolute_error: 0.0235, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9858, predictive_accuracy: 0.9856, prior_entropy: 0.8205, recall: 0.9856, relative_absolute_error: 0.0618, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.103, root_relative_squared_error: 0.2368, scimark_benchmark: 906.0884, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6132, f_measure: 0.7534, kappa: 0.3041, kb_relative_information_score: 88.5272, mean_absolute_error: 0.1962, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.8447, predictive_accuracy: 0.8038, prior_entropy: 0.8205, recall: 0.8038, relative_absolute_error: 0.5166, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.4429, root_relative_squared_error: 1.018, scimark_benchmark: 946.8777, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9576, kappa: 0.8897, kb_relative_information_score: 181.1621, mean_absolute_error: 0.0459, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9595, predictive_accuracy: 0.9569, prior_entropy: 0.8205, recall: 0.9569, relative_absolute_error: 0.1209, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.187, root_relative_squared_error: 0.4298, scimark_benchmark: 945.0194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9622, kappa: 0.9013, kb_relative_information_score: 179.4175, mean_absolute_error: 0.0496, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9635, predictive_accuracy: 0.9617, prior_entropy: 0.8205, recall: 0.9617, relative_absolute_error: 0.1306, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.168, root_relative_squared_error: 0.3862, scimark_benchmark: 938.838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9622, kappa: 0.9013, kb_relative_information_score: 179.4175, mean_absolute_error: 0.0496, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9635, predictive_accuracy: 0.9617, prior_entropy: 0.8205, recall: 0.9617, relative_absolute_error: 0.1306, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.168, root_relative_squared_error: 0.3862, scimark_benchmark: 922.5036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9622, kappa: 0.9013, kb_relative_information_score: 179.4175, mean_absolute_error: 0.0496, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9635, predictive_accuracy: 0.9617, prior_entropy: 0.8205, recall: 0.9617, relative_absolute_error: 0.1306, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.168, root_relative_squared_error: 0.3862, scimark_benchmark: 946.9304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9465, kappa: 0.8565, kb_relative_information_score: 150.3789, mean_absolute_error: 0.1132, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9471, predictive_accuracy: 0.9474, prior_entropy: 0.8205, recall: 0.9474, relative_absolute_error: 0.2982, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.2078, root_relative_squared_error: 0.4776, scimark_benchmark: 922.5036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9662, kappa: 0.9098, kb_relative_information_score: 169.6056, mean_absolute_error: 0.0755, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9664, predictive_accuracy: 0.9665, prior_entropy: 0.8205, recall: 0.9665, relative_absolute_error: 0.199, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1779, root_relative_squared_error: 0.4089, scimark_benchmark: 952.4682, usercpu_time_millis: 800, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9622, kappa: 0.9013, kb_relative_information_score: 179.4175, mean_absolute_error: 0.0496, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9635, predictive_accuracy: 0.9617, prior_entropy: 0.8205, recall: 0.9617, relative_absolute_error: 0.1306, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.168, root_relative_squared_error: 0.3862, scimark_benchmark: 949.7766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9662, kappa: 0.9098, kb_relative_information_score: 181.3508, mean_absolute_error: 0.0507, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9664, predictive_accuracy: 0.9665, prior_entropy: 0.8205, recall: 0.9665, relative_absolute_error: 0.1335, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1608, root_relative_squared_error: 0.3696, scimark_benchmark: 952.4682, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9666, kappa: 0.9121, kb_relative_information_score: 170.8545, mean_absolute_error: 0.0764, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9668, predictive_accuracy: 0.9665, prior_entropy: 0.8205, recall: 0.9665, relative_absolute_error: 0.2011, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1573, root_relative_squared_error: 0.3616, scimark_benchmark: 879.4299, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.9472, kappa: 0.8601, kb_relative_information_score: 174.5699, mean_absolute_error: 0.0569, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9471, predictive_accuracy: 0.9474, prior_entropy: 0.8205, recall: 0.9474, relative_absolute_error: 0.1498, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.2143, root_relative_squared_error: 0.4926, scimark_benchmark: 946.9304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6132, f_measure: 0.7534, kappa: 0.3041, kb_relative_information_score: 88.5272, mean_absolute_error: 0.1962, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.8447, predictive_accuracy: 0.8038, prior_entropy: 0.8205, recall: 0.8038, relative_absolute_error: 0.5166, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.4429, root_relative_squared_error: 1.018, scimark_benchmark: 1314.9949, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9576, kappa: 0.8897, kb_relative_information_score: 181.1621, mean_absolute_error: 0.0459, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9595, predictive_accuracy: 0.9569, prior_entropy: 0.8205, recall: 0.9569, relative_absolute_error: 0.1209, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.187, root_relative_squared_error: 0.4298, scimark_benchmark: 1292.514,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6132, f_measure: 0.7534, kappa: 0.3041, kb_relative_information_score: 88.5272, mean_absolute_error: 0.1962, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.8447, predictive_accuracy: 0.8038, prior_entropy: 0.8205, recall: 0.8038, relative_absolute_error: 0.5166, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.4429, root_relative_squared_error: 1.018, scimark_benchmark: 1313.5633, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9576, kappa: 0.8897, kb_relative_information_score: 181.1621, mean_absolute_error: 0.0459, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9595, predictive_accuracy: 0.9569, prior_entropy: 0.8205, recall: 0.9569, relative_absolute_error: 0.1209, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.187, root_relative_squared_error: 0.4298, scimark_benchmark: 1332.9478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9622, kappa: 0.9013, kb_relative_information_score: 179.4175, mean_absolute_error: 0.0496, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9635, predictive_accuracy: 0.9617, prior_entropy: 0.8205, recall: 0.9617, relative_absolute_error: 0.1306, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.168, root_relative_squared_error: 0.3862, scimark_benchmark: 1321.8321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9622, kappa: 0.9013, kb_relative_information_score: 179.4175, mean_absolute_error: 0.0496, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9635, predictive_accuracy: 0.9617, prior_entropy: 0.8205, recall: 0.9617, relative_absolute_error: 0.1306, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.168, root_relative_squared_error: 0.3862, scimark_benchmark: 1337.3324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9622, kappa: 0.9013, kb_relative_information_score: 179.4175, mean_absolute_error: 0.0496, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9635, predictive_accuracy: 0.9617, prior_entropy: 0.8205, recall: 0.9617, relative_absolute_error: 0.1306, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.168, root_relative_squared_error: 0.3862, scimark_benchmark: 1374.9737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9465, kappa: 0.8565, kb_relative_information_score: 150.3789, mean_absolute_error: 0.1132, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9471, predictive_accuracy: 0.9474, prior_entropy: 0.8205, recall: 0.9474, relative_absolute_error: 0.2982, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.2078, root_relative_squared_error: 0.4776, scimark_benchmark: 1337.3324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9622, kappa: 0.9013, kb_relative_information_score: 179.4175, mean_absolute_error: 0.0496, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9635, predictive_accuracy: 0.9617, prior_entropy: 0.8205, recall: 0.9617, relative_absolute_error: 0.1306, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.168, root_relative_squared_error: 0.3862, scimark_benchmark: 1332.9478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9666, kappa: 0.9121, kb_relative_information_score: 170.8545, mean_absolute_error: 0.0764, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9668, predictive_accuracy: 0.9665, prior_entropy: 0.8205, recall: 0.9665, relative_absolute_error: 0.2011, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1573, root_relative_squared_error: 0.3616, scimark_benchmark: 1367.3264, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9905, kappa: 0.975, kb_relative_information_score: 188.5633, mean_absolute_error: 0.0408, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9908, predictive_accuracy: 0.9904, prior_entropy: 0.8205, recall: 0.9904, relative_absolute_error: 0.1074, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1202, root_relative_squared_error: 0.2763, scimark_benchmark: 1310.3168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9857, kappa: 0.9623, kb_relative_information_score: 196.4435, mean_absolute_error: 0.0235, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9858, predictive_accuracy: 0.9856, prior_entropy: 0.8205, recall: 0.9856, relative_absolute_error: 0.0618, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.103, root_relative_squared_error: 0.2368, scimark_benchmark: 1314.2279, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9952, kappa: 0.9873, kb_relative_information_score: 196.0513, mean_absolute_error: 0.0235, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 0.8205, recall: 0.9952, relative_absolute_error: 0.0618, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.093, root_relative_squared_error: 0.2138, scimark_benchmark: 1330.3848, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6132, f_measure: 0.7534, kappa: 0.3041, kb_relative_information_score: 88.5272, mean_absolute_error: 0.1962, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.8447, predictive_accuracy: 0.8038, prior_entropy: 0.8205, recall: 0.8038, relative_absolute_error: 0.5166, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.4429, root_relative_squared_error: 1.018, scimark_benchmark: 1342.8584, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6132, f_measure: 0.7534, kappa: 0.3041, kb_relative_information_score: 88.5272, mean_absolute_error: 0.1962, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.8447, predictive_accuracy: 0.8038, prior_entropy: 0.8205, recall: 0.8038, relative_absolute_error: 0.5166, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.4429, root_relative_squared_error: 1.018, scimark_benchmark: 1352.3373, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9622, kappa: 0.9013, kb_relative_information_score: 179.4175, mean_absolute_error: 0.0496, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9635, predictive_accuracy: 0.9617, prior_entropy: 0.8205, recall: 0.9617, relative_absolute_error: 0.1306, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.168, root_relative_squared_error: 0.3862, scimark_benchmark: 1371.174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9622, kappa: 0.9013, kb_relative_information_score: 179.4175, mean_absolute_error: 0.0496, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9635, predictive_accuracy: 0.9617, prior_entropy: 0.8205, recall: 0.9617, relative_absolute_error: 0.1306, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.168, root_relative_squared_error: 0.3862, scimark_benchmark: 1328.1785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9662, kappa: 0.9098, kb_relative_information_score: 181.3508, mean_absolute_error: 0.0507, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9664, predictive_accuracy: 0.9665, prior_entropy: 0.8205, recall: 0.9665, relative_absolute_error: 0.1335, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1608, root_relative_squared_error: 0.3696, scimark_benchmark: 1316.5668, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9666, kappa: 0.9121, kb_relative_information_score: 170.8545, mean_absolute_error: 0.0764, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9668, predictive_accuracy: 0.9665, prior_entropy: 0.8205, recall: 0.9665, relative_absolute_error: 0.2011, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1573, root_relative_squared_error: 0.3616, scimark_benchmark: 940.3347, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.9472, kappa: 0.8601, kb_relative_information_score: 174.5699, mean_absolute_error: 0.0569, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9471, predictive_accuracy: 0.9474, prior_entropy: 0.8205, recall: 0.9474, relative_absolute_error: 0.1498, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.2143, root_relative_squared_error: 0.4926, scimark_benchmark: 1342.6744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9662, kappa: 0.9098, kb_relative_information_score: 181.3508, mean_absolute_error: 0.0507, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9664, predictive_accuracy: 0.9665, prior_entropy: 0.8205, recall: 0.9665, relative_absolute_error: 0.1335, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1608, root_relative_squared_error: 0.3696, scimark_benchmark: 1350.007, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6132, f_measure: 0.7534, kappa: 0.3041, kb_relative_information_score: 88.5272, mean_absolute_error: 0.1962, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.8447, predictive_accuracy: 0.8038, prior_entropy: 0.8205, recall: 0.8038, relative_absolute_error: 0.5166, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.4429, root_relative_squared_error: 1.018, scimark_benchmark: 1339.5272, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9576, kappa: 0.8897, kb_relative_information_score: 181.1621, mean_absolute_error: 0.0459, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9595, predictive_accuracy: 0.9569, prior_entropy: 0.8205, recall: 0.9569, relative_absolute_error: 0.1209, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.187, root_relative_squared_error: 0.4298, scimark_benchmark: 1354.3488,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs